A Survey of Naturalistic Programming Technologies
| Autor: | Ulises Juárez-Martínez, Oscar Pulido-Prieto |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Cognitive science
General Computer Science Computer science business.industry media_common.quotation_subject Natural language programming 020207 software engineering 02 engineering and technology Ambiguity computer.software_genre Theoretical Computer Science Very high-level programming language High-level programming language 020204 information systems 0202 electrical engineering electronic engineering information engineering Programming paradigm Artificial intelligence Fifth-generation programming language business computer Natural language processing Natural language media_common Abstraction (linguistics) |
| Zdroj: | ACM Computing Surveys. 50:1-35 |
| ISSN: | 1557-7341 0360-0300 |
| Popis: | Mainly focused on solving abstraction problems, programming paradigms limit language expressiveness, thus leaving unexplored natural language descriptions that are implicitly expressive. Several authors have developed tools for programming with a natural language subset limited to specific domains to deal with the ambiguity occurring with artificial intelligence technique use. This article presents a review of tools and languages with naturalistic features and highlights the problems that authors have resolved and those they have not addressed, going on to discuss the fact that a “naturalistic” language based on a well-defined model is not reported. |
| Databáze: | OpenAIRE |
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